MCP cover image
See in Github
2025-03-04

1

Github Watches

2

Github Forks

3

Github Stars

JSON Canvas MCP Server

A Model Context Protocol (MCP) server implementation that provides tools for working with JSON Canvas files according to the official specification. This server enables creating, modifying, and validating infinite canvas data structures.

Overview

The JSON Canvas MCP server provides a complete implementation of the JSON Canvas 1.0 specification, enabling:

  • Creation and manipulation of infinite canvas data
  • Support for all node types (text, file, link, group)
  • Edge connections with styling and labels
  • Validation against the specification
  • Configurable output paths

Components

Resources

The server exposes the following resources:

  • canvas://schema: JSON Schema for validating canvas files
  • canvas://examples: Example canvas files demonstrating different features
  • canvas://templates: Templates for creating new canvases

Tools

Node Operations

  • create_node

    • Create a new node of any supported type
    • Input:
      • type (string): Node type ("text", "file", "link", "group")
      • properties (object): Node-specific properties
        • Common: id, x, y, width, height, color
        • Type-specific: text, file, url, etc.
    • Returns: Created node object
  • update_node

    • Update an existing node's properties
    • Input:
      • id (string): Node ID to update
      • properties (object): Properties to update
    • Returns: Updated node object
  • delete_node

    • Remove a node and its connected edges
    • Input:
      • id (string): Node ID to delete
    • Returns: Success confirmation

Edge Operations

  • create_edge

    • Create a new edge between nodes
    • Input:
      • id (string): Unique edge identifier
      • fromNode (string): Source node ID
      • toNode (string): Target node ID
      • fromSide (optional string): Start side ("top", "right", "bottom", "left")
      • toSide (optional string): End side
      • color (optional string): Edge color
      • label (optional string): Edge label
    • Returns: Created edge object
  • update_edge

    • Update an existing edge's properties
    • Input:
      • id (string): Edge ID to update
      • properties (object): Properties to update
    • Returns: Updated edge object
  • delete_edge

    • Remove an edge
    • Input:
      • id (string): Edge ID to delete
    • Returns: Success confirmation

Canvas Operations

  • validate_canvas

    • Validate a canvas against the specification
    • Input:
      • canvas (object): Canvas data to validate
    • Returns: Validation results with any errors
  • export_canvas

    • Export canvas to different formats
    • Input:
      • format (string): Target format ("json", "svg", "png")
      • canvas (object): Canvas data to export
    • Returns: Exported canvas in requested format

Usage with Claude Desktop

Docker

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "jsoncanvas": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "canvas-data:/data",
        "mcp/jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "/data/output"
      }
    }
  }
}

UV

{
  "mcpServers": {
    "jsoncanvas": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/jsoncanvas",
        "run",
        "mcp-server-jsoncanvas"
      ],
      "env": {
        "OUTPUT_PATH": "./output"
      }
    }
  }
}

Configuration

The server can be configured using environment variables:

  • OUTPUT_PATH: Directory where canvas files will be saved (default: "./output")
  • FORMAT: Default output format for canvas files (default: "json")

Building

Docker Build

docker build -t mcp/jsoncanvas .

Local Build

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

# Run tests
pytest

Example Usage

Creating a Canvas

from jsoncanvas import Canvas, TextNode, Edge

# Create nodes
title = TextNode(
    id="title",
    x=100,
    y=100,
    width=400,
    height=100,
    text="# Hello Canvas\n\nThis is a demonstration.",
    color="#4285F4"
)

info = TextNode(
    id="info",
    x=600,
    y=100,
    width=300,
    height=100,
    text="More information here",
    color="2"  # Using preset color
)

# Create canvas
canvas = Canvas()
canvas.add_node(title)
canvas.add_node(info)

# Connect nodes
edge = Edge(
    id="edge1",
    from_node="title",
    to_node="info",
    from_side="right",
    to_side="left",
    label="Connection"
)
canvas.add_edge(edge)

# Save canvas
canvas.save("example.canvas")

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • Bora Yalcin
  • Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • https://jgadvisorycpa.com
  • This GPT assists in finding a top-rated business CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Business operators provide a short description of your business, services wanted, and city or state.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Contraband Interactive
  • Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.

  • rustassistant.com
  • Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • modelcontextprotocol
  • 模型上下文协议服务器

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

  • OffchainLabs
  • 进行以太坊的实施

  • huahuayu
  • 统一的API网关,用于将多个Etherscan样区块链Explorer API与对AI助手的模型上下文协议(MCP)支持。

  • n8n-io
  • 具有本机AI功能的公平代码工作流程自动化平台。将视觉构建与自定义代码,自宿主或云相结合,400+集成。

    Reviews

    5 (1)
    Avatar
    user_4wvc8OL3
    2025-04-15

    As a dedicated MCP application user, I can confidently say Trello MCP Server by m0xai transforms how you manage Trello boards. The seamless integration and user-friendly interface make project management more efficient and productive. Highly recommended for anyone looking to enhance their Trello experience. Check it out at https://mcp.so/server/trello-mcp-server/m0xai!